226
results
How to
  • awol - Atom Syndication Ontology
    http://bblfish.net/work/atom-owl/2006-06-06/
    The AtomOWL ontology is inspired from the work done by the atom working group. This ontology is working off the rfc 4287 published among othe places at http://www.atompub.org/rfc4287.html . The AtomOWL ontology uses as much as possible the same terms as the format there to make the relation easy to understand. The AtomOWL name space is slightly different from the atom namespace [see post http://www.imc.org/atom-syntax/mail-archive/msg16476.html]. But this is a good thing as it helps distinguish the ontology from the rfc 4287 serialisation. @en
  • dtx_srti - LOD SRTI DATEX II
    http://cef.uv.es/lodroadtran18/def/transporte/dtx_srti
    An RDF/OWL vocabulary to represent SRTI DATEX II profile (according the Commission Delegated Regulation (EU) No 886/2013) within the European LOD-RoadTran18 action "Supporting the cross-border use of Road Traffic Data with Linked Open Data based on DATEX II (LOD-RoadTran18)" (Agreement No: INEA/CEF/ICT/A2018/1803421, Action No: 2018-EU-IA-0088). The vocabulary is used for mapping between DATEX II and LOD formats. @en
  • ccp - Vocabulary for prices options in Cloud Computing Services
    http://cookingbigdata.com/linkeddata/ccpricing
    Simple and direct pricing ontology for Cloud Computing Services. This ontology allows to define model of prices used in large cloud computing providers such as Amazon, Azure, etc., including options for regions, type of instances, prices specification, etc. @en
  • ccr - Vocabulary for Regions and Zones on Cloud Computing
    http://cookingbigdata.com/linkeddata/ccregions
    Ontology for the definition of regions and zones of availability on CloudComputing platforms and services. This ontology allows to define model of regions used in large cloud computing providers such as Amazon, Azure, etc. @en
  • cci - Ontology for Cloud Computing instances
    http://cookingbigdata.com/linkeddata/ccinstances
    Ontology for Cloud Computing Instances. Instance are classes of VM that comprise varying combinations of CPU, memory, storage, and networking capacity. This ontology allows to define the instantiation model of MVs used in large cloud computing providers such as Amazon, Azure, etc. @en
  • era - ERA vocabulary
    http://data.europa.eu/949/
    This is the human and machine readable Vocabulary/Ontology governed by the European Union Agency for Railways. It represents the concepts and relationships linked to the sectorial legal framework and the use cases under the Agency´s remit. Currently, this vocabulary covers the European railway infrastructure and the vehicles authorized to operate over it. It is a semantic/browsable representation of the RINF and ERATV application guides that were built by domain experts in the RINF and ERATV working parties. Since version 2.6.0, the ontology includes the routebook concepts described in appendix D2 \"Elements the infrastructure manager has to provide to the railway undertaking for the Route Book\" (https://eur-lex.europa.eu/eli/reg_impl/2019/773/oj) and the appendix D3 \"ERTMS trackside engineering information relevant to operation that the infrastructure manager shall provide to the railway undertaking\". @en
  • graphql - GraphQL Vocabulary
    http://datashapes.org/graphql
    A vocabulary to annotate RDF schemas (in particular SHACL shapes) with metadata to define mappings to GraphQL. @en
  • dogont - Ontology Modeling for Intelligent Domotic Environments
    http://elite.polito.it/ontologies/dogont.owl
    The DogOnt ontology supports device/network independent description of houses, including both controllable and architectural elements. @en
  • eupont - EUPont: an ontology for End User Programming of the IoT
    http://elite.polito.it/ontologies/eupont.owl
    EUPont is an ontology to model high level rules for Internet of Things End User Programming (IoT-EUP). @en
  • hr - hRESTS Ontology
    http://iserve.kmi.open.ac.uk/ns/hrests
    hRESTS is a vocabulary for describing RESTful Web services @en
  • msm - Minimal Service Model
    http://iserve.kmi.open.ac.uk/ns/msm
    A simple RDF(S) ontology able to capture (part of) the semantics of both Web services and Web APIs @en
  • ends - Vocabulary of endpoint status (availability, responseTime)
    http://labs.mondeca.com/vocab/endpointStatus
    Endpoint Status vocabulary intends to describe endpoint availability @en
  • trao - Transport Administration Ontology
    http://linkeddata.finki.ukim.mk/lod/ontology/tao#
    Transport Administration Ontology (TAO) for describing data from Swedish Transport Administration Web site. @en
  • veo - Vehicle Emissions Ontology
    http://linkeddata.finki.ukim.mk/lod/ontology/veo#
    An ontology for describing vehicles and their emissions. @en
  • kees - KEES Ontology
    http://linkeddata.center/kees/v1
    KEES (Knowledge Exchange Engine Schema ) ontology describes a knowledge base configuration in terms of ABox and TBox statements together with their accrual and reasoning policies. This vocabulary is designed to drive automatic data ingestion in a graph database according KEES and Linked (Open) Data principles. @en